lalr_parsing.grammar.NonTerminal Class Reference

Public Member Functions
	__init__ (self, name, productions)
	__repr__ (self)
	__str__ (self)
	stringify (self, pretty=True)

Public Attributes
	name = name
list	productions = [(x.split() if isinstance(x, str) else x) for x in productions]

Constructor & Destructor Documentation

__init__()

lalr_parsing.grammar.NonTerminal.__init__	(		self,
			name,
			productions )

    def __init__(self, name, productions):
        # Creates an instance of a NonTerminal that represents a set of
        # grammar productions for a non-terminal.
        #
        # Keyword arguments:
        # name -- the name of the non-terminal
        # productions -- a list whose elements can be:
        #   1. Lists of objects of type NTerm or str.
        #      The str elements represent terminal grammar symbols.
        #   2. a str with space-separated words. These words represent grammar symbols (T and NT)
        #
        self.name = name
        self.productions = [(x.split() if isinstance(x, str) else x) for x in productions]
 

Member Function Documentation

__repr__()

lalr_parsing.grammar.NonTerminal.__repr__

(

self

)

    def __repr__(self):
        return 'NonTerminal(' + repr(self.name) + ')'
 

__str__()

lalr_parsing.grammar.NonTerminal.__str__

(

self

)

    def __str__(self):
        return self.name
 

stringify()

lalr_parsing.grammar.NonTerminal.stringify	(		self,
			pretty = True )

    def stringify(self, pretty=True):
        title = '%s: ' % self.name
 
        if pretty:
            separator = '\n%s| ' % (' ' * len(self.name))
        else:
            separator = ' | '
 
        def strprod(prod):
            return ' '.join(str(sym) for sym in prod)
 
        rules = separator.join(strprod(prod) for prod in self.productions)
 
        return title + rules
 
 

Member Data Documentation

name

lalr_parsing.grammar.NonTerminal.name = name

productions

list lalr_parsing.grammar.NonTerminal.productions = [(x.split() if isinstance(x, str) else x) for x in productions]

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The documentation for this class was generated from the following file:

• hyperdbg/script-engine/python/lalr_parsing/grammar.py